Overview
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Data Analysis
Modeling
Algorithms
Regression Analysis
Clustering
Natural Language Processing
Computer Vision
Time Series
Forecasting
Data Integration
Pipeline Management
Data Quality
Apache Airflow
Workflow
Management
Machine Learning Operations (ML Ops)
Reporting
Dashboard
Microsoft Power BI
Tableau
Communication
Durable Skills
Programming Languages
Python
R
SQL
Java
Machine Learning (ML)
PyTorch
Keras
scikit-learn
Data Processing
Visualization
Pandas
NumPy
matplotlib
Data Visualization
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Soft Skills
Problem Solving
Conflict Resolution
Effective Communication
Collaboration
Teamwork
Data Science
SANS
Microsoft Azure
Artificial Intelligence
TensorFlow
Job Details
Hiring: W2 Candidates Only
Location: USA
Visa: Open to any visa type with valid work authorization in the USA
Experience Required: 6 to 12 years
Level: Mid to Lead positions
Key Responsibilities
- Data Analysis & Modeling: Analyze large datasets to identify patterns and trends, developing predictive models using ML algorithms like regression, classification, and clustering.
- AI Model Development: Design, train, and deploy AI models, including natural language processing (NLP) systems, computer vision applications, and time series forecasting.
- Data Integration & Pipeline Management: Integrate data from various sources, ensuring data quality and consistency. Utilize tools like Apache Airflow for workflow automation and manage data pipelines effectively.
- Cloud & MLOps: Deploy AI models on cloud platforms such as AWS, Azure, or Google Cloud Platform. Implement MLOps practices to streamline model deployment, monitoring, and maintenance.
- Visualization & Reporting: Create interactive dashboards and visualizations using tools like Power BI or Tableau to present insights to stakeholders.
- Collaboration & Communication: Work closely with cross-functional teams, including data engineers, product managers, and business analysts, to align AI solutions with business objectives
Essential Skills
- Programming Languages: Proficiency in Python and R; experience with SQL and Java is a plus.
- AI/ML Frameworks: Familiarity with TensorFlow, PyTorch, Keras, and scikit-learn.
- Data Processing & Visualization: Experience with Pandas, NumPy, Matplotlib, and data visualization tools.
- Cloud Platforms: Knowledge of cloud services like AWS, Azure, or Google Cloud Platform for model deployment.
- Soft Skills: Strong problem-solving abilities, effective communication, and teamwork.
Experience Requirements
- Experience: 3 6 years in data science or AI roles, with a proven track record of deploying AI solutions in production environments.
- Certifications: Certifications like Azure AI Engineer Associate or TensorFlow Developer can be advantageous.
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